Triple

T19983105
Position Surface form Disambiguated ID Type / Status
Subject Helen Lyndon Goff E493865 entity
Predicate middleName P143 FINISHED
Object Lyndon NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lyndon | Statement: [Helen Lyndon Goff, middleName, Lyndon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyndon
Context triple: [Helen Lyndon Goff, middleName, Lyndon]
  • A. Lyndon
    Lyndon is a short story by David Foster Wallace, included in his collection "Girl with Curious Hair," that offers a fictionalized, introspective portrayal of former U.S. President Lyndon B. Johnson.
  • B. Lyndon chosen
    Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
  • C. Lyndon Evelyn
    Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
  • D. Lyndon James
    Lyndon James is an English cricketer known for playing as an all-rounder for Nottinghamshire.
  • E. Lyndon Henry
    Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.